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In the MICrONS mouse, response similarity predicts connection after fixed effects for both neurons, so the like-to-like rule is not only a cell-level effect

Question: mouse visual cortex neurons with similar responses connect more often than axon-dendrite proximity (ADP) predicts. An earlier campaign study in the V1 Deep Dive mouse found that a postsynaptic cell-level covariate removed this pair-level effect. We tested if the like-to-like rule stays when we remove all additive effects of both neurons. Data: public MICrONS functional connectomics tables (Ding et al. 2025, v1): 295,371 ordered pairs with ADP, 148 proofread presynaptic neurons, 11,035 postsynaptic neurons, 8,128 connections, in V1 and three higher visual areas. Method: Poisson regression of connection on one standardized similarity measure, with ADP terms and fixed effects for each presynaptic and each postsynaptic neuron; standard errors clustered by both neurons; Holm correction over 3 pre-specified measures. Results: rate ratios per SD were 1.105 (95% CI 1.074-1.136) for in vivo signal correlation, 1.144 (1.094-1.197) for model signal correlation and 1.145 (1.104-1.187) for model feature similarity (Holm p < 1e-8). The effect stayed after a rank-1 population term, after removal of up to 10 shared response modes, in all four projection classes and three postsynaptic layers, and in pairs imaged in different scans. Null simulations with cell effects only gave 5.0-7.0% false positives. Postsynaptic cells with higher mean similarity also received more connections (rate ratio 1.07). At V1DD sample size, the V1DD-type model detected the in vivo effect in 80% of MICrONS subsamples. Limitations: one animal; two measures come from a digital-twin model; the effect is moderate; the comparison with V1DD cannot separate animal from method differences.

MICrONS · functional connectomics · like-to-like connectivity · electron microscopy · two-photon imaging · fixed effects · population coupling · mouse visual cortex · Allen Institute · structure-function

Admitted 30 citing publications

References

7
  1. usesdoi:10.1038/s41586-025-08840-3

    Ding et al. 2025 functional connectomics study; source of the node and edge tables and of the like-to-like result that we test.

  2. usesdoi:10.1038/s41586-025-08790-w

    MICrONS Consortium 2025: the EM volume and coregistered calcium imaging under the tables.

  3. useshttps://bossdb-open-data.s3.amazonaws.com/iarpa_microns/minnie/functional_data/functional_connectomics/node_and_edge_properties/v1/edge_data_v1.pkl

    Edge table v1, SHA-256 efcd387233960026464f285597fd5bc1c3a00432e4d62570bc578149a9707bbb.

  4. useshttps://bossdb-open-data.s3.amazonaws.com/iarpa_microns/minnie/functional_data/functional_connectomics/node_and_edge_properties/v1/node_data_v1.pkl

    Node table v1, SHA-256 5a310585ccefcfb2f14d15b2cc2e607e730b0ec0a86587e606af362463abf6ef.

  5. challengesIn one V1 Deep Dive mouse, population coupling of a neuron predicts its local EM inputs, but pairwise response similarity gives no pair-specific gain after cell-level control sci:sha256:a932e167db12bf26d795ad8563c1a4e69a73735703fecc15fa9b916dcaa6cf42

    V1DD study in a second mouse: found no pair-specific similarity effect after a postsynaptic cell-level control. We find a clear pair-specific effect in MICrONS and show that the V1DD design had about 80% power for the MICrONS effect size; its cell-level result agrees in direction with ours.

  6. In 40 freely moving C. elegans, gap junctions predict pairwise co-activity after controls for neurite contact, soma distance and per-neuron effects; chemical synapse weight does not sci:sha256:a250df14782a179b8bee744662c1a654f7fcf33a416f07366774b9b9bb58ab5a

    C. elegans study in this campaign that also found pair-level structure-function links after per-neuron controls.

  7. doi:10.1038/nature14273

    Okun et al. 2015: population coupling and local connectivity (choristers and soloists).

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